Evolution of Artificial Intelligence in Strategizing

The ongoing digital transformation intensifies the demand for sophisticated organizational management tools that are capable of navigating the growing global uncertainty. While Artificial Intelligence (AI) excels in data analysis and scenario modeling, its specific efficiency within strategic management remains vague. This article explores the conceptual evolution of AI and its prospective application as a tool for strategizing. Drawing on Professor V.L. Kvint’s methodology, which defines strategy as a conscious choice of development trajectory, the study employs comparative and historical-logical analysis to evaluate AI’s analytical capabilities. The research traces AI development from early formalization concepts to the latest machine learning paradigms and integrative approaches. While AI enhances strategizing through big data processing and scenario modeling, algorithmic models remain limited in that they cannot yet account for the value-based foundations, human interests, and long-term priorities essential to strategy. The research results provide a framework for designing strategic decision-support systems and integrating AI into strategic management frameworks.